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Displaying entries 16 through 30 of 33 found.

Ecosmomics: Independent Complex Network Systems, Computational Programs, Genetic Ecode Scripts

Agüera y Arcas, Blaise, et al. Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction. arXiv:2406.19108. Google Paradigms of Intelligence Team and University of Chicago conduct exercises that show how certain program languages as they run appear to have a tendency to spontaneously biocomplexify, evolve and emerge lifeward. These digital propensities are then seen to accompany precursor autocatalytic reactions.

The fields of Origin of Life and Artificial Life both question what life is and how it emerges from a distinct set of "pre-life" dynamics. One common feature is a marked shift in dynamics when self-replication appears. In this paper we propose some answers by studying computational substrates by way of programming languages and machine instruction sets. We show that when non self-replicating programs are placed in a conducive environment, that self-replicators tend to arise. We also show how increasingly complex dynamics then continue to emerge. (Excerpt)

Aerts, Diederik, et al. Identifying Quantum Mechanical Statistics in Italian Corpora.. International Journal of Theoretical Physics. 64/136, 2025. As the Free University of Brussels and University of Udine team (search DA) apply their insights to human realms, in this case they report an intrinsic, thematic presence in literary editions. Our natural philoSophia interest then makes note of a textual quality being attributed to nature’s deepest essence.

We present a theoretical and empirical investigation of the statistical behaviour of the words produced by human language. To this aim, we analyse the word distribution of various texts of Italian language selected from a specific literary corpus. We generalise a theory elaborated by ourselves to identify “quantum mechanical statistics.” These results confirm patterns in English language works whereby words together as a consequence of their meaning. (Excerpt)

Camps, Jean-Baptiste, et al. Camps, Jean-Baptiste, et al. On the transmission of texts: written cultures as complex systems.. arXiv:2505.19246. Ecole nationale des chartes Paris, University Paris-Saclay and Ben Guerir, Morocco computational philologists provide a 2020s expansion and deepening of this academic pursuit by recasting literature as an exemplary manifestation of nonlinear, creative phenomena. By turns, our human literary corpora can actually be appreciated and parsed as a natural narrative.

Our knowledge of past cultures relies on recovering and parsing written material. While philologists like us reconstruct text phylogenies, the sources of prior genealogies is an open issue. Here we rethink literary transmission through a complexity science approach which integrates stochastic modelling, computer simulations, and data analysis, akin to statistical physics and evolutionary biology. Thus, we design general models that can account for diachrony and other aspects such as the extinction of branches or trees. (Excerpt)

Finally, the commonality of our models makes it applicable not only to medieval texts, but to any type of cultural transmission. Further investigations should include Western Medieval literature along with other time periods and geographical areas. In this sense, our work calls for the emergence of a new research endeavor dedicated to evolutionary modelling of cultural transmission. (15)

Gong, Wen. A New Exploration into Chinese Characters: From Simplification to Deeper Understanding. arXiv:2502.19428. A City University of Macau scholar posts a unique synthesis across millennia of oriental wisdom, mathematics and geometry and our 2025 intelligent cybersphere frontiers. The achievement is a luminous preview of a Earthuman (East/west, South/north) spatial and temporal textual universality.

This paper presents a novel approach to Chinese characters through the lens of physics, networks, and natural systems. Computational analysis of over 6,000 characters served to identify 422 elemental logographs which exhibit properties of emergent complexity, self-organization, and adaptive resilience. By viewing Chinese characters as a living system, this research can reveal how human cognition organizes and transmits knowledge. This perspective, combined with AI approaches, promises to transform language education from knowledge gain to meaning discovery.

This paper represents a collaborative effort between the author, and a team of AI assistants including Claude 3.3 from Anthropic, Gemini 2 from Google and Qwen2.5-Max from Alibaba. The fusion of human knowledge and software development, physics, and Chinese language with AI capabilities enables the novel perspectives and methodologies presented in this work.

Natural Growth Patterns in Character Evolution Just as natural systems evolve from simple to complex through predictable patterns, Chinese characters follow a similar organic development. The Fibonacci sequence provides an elegant metaphor for how complexity emerges from simplicity in systematic ways. The accompanying images of Fibonacci patterns in nature - from sunflowers to nautilus shells and fern fronds to spiral galaxies - reveal this universal principle of growth and organization. (22)

Dedication This work is dedicated to the late Professor T.D. Lee whose efforts opened doors for many Chinese students to pursue studies in the United States as a bridge between Eastern and Western traditions. His vision and support have enabled countless scholars like myself to contribute to global discourse.

Duan, Qihao, et al. JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model.. arXiv:2505.17257. We cite this entry by Berlin Institute of Health, Shenzhen Technology University, Carnegie Mellon University and MPI Heart and Lung Research system scientists including Benjamin Wild as another example of how easily a cross-translation of AI textual algorithms and genetic code-scripts can be made, as a Rosetta ecosmos becomes increasingly legible.

Large language models (LLMs) have joined with natural language processing and are now being applied to genetic sequences. However, adapting to complex genomic interactions requires modeling long-range dependencies within DNA sequences, but DNA is inherently bidirectional, which regulates transcription. Here we introduce JanusDNA, the first foundation model built upon a pretraining paradigm that combines the optimization efficiency of autoregression as it faces in both directions. (Excerpt)

Liang, Wang. Human Genome Book: Words, Sentences and Paragraphs. arXiv:2501.16982. In these mid 2020s when an AI Large Language publicity fills the cyberair, a Huazhong University of Science and Technology, China physicist lays out a whole scale translation of life’s hereditary endowment in full literary and textual terms. See also Find Central Dogma Again by LW at arXiv:2502.06253 whereby these AI methods are able to “rediscover” basic genetic principles and DNA and Human Language: Epigenetic Memory and Redundancy in Linear Sequence by Li Yang and Dongbo Wang at arXiv:2503.23494 for a similar review.

A consideration of the genome as a book with equivalents of words, sentences, and paragraphs has been often proposed. Recently, large language models have provided a novel approach, whereby we can train a foundational model capable of transferring from English to DNA sequences. We were then able to translate a human genome by segments and tokens into a "book" comprised of genomic "words," "sentences," and "paragraphs."

Zhang, Fan, et al. CellVerse: Do Large Language Models Really Understand Cell Biology?. arXiv:2505.07865. As AI capabilities become adapted to genetic studies, CUHK-Shenzhen, Yale University, Peking University, Tsinghua University, UCLA and Westlake University, China researchers specify a more advanced, viable version. Altogether, one can observe a growing sense of nature’s universal ecosmome to geonome textuality and familementarity.

Recent studies have shown ways to model single-cell data as natural languages by leveraging large language models (LLMs) for understanding cell biology. Here we introduce CellVerse, a unified language-centric question-answering method that integrates single-cell multi-omics data to analyze annotation (cell-level), drug prediction (drug-level), and perturbations (gene-level). CellVerse offers the first large-scale empirical demonstration that challenges still remain in applying LLMs to cell biology. (Excerpt)

Recent advances in LLMs have applied them to scientific domains, including mathematics, chemistry, and biology. Galactica strives to unify knowledge representation, whereas AlphaCode expands into protein synthesis. Our work contributes to this emerging field by connecting LLMs with biological data to evaluate and improve LLM capabilities in real-world biological contexts. (3)

Life's Corporeal Evolution Develops, Encodes and Organizes Itself: An Earthtwinian Genesis Synthesis

Attwater, James, et al. Trinucleotide substrates under pH–freeze–thaw cycles enable open-ended exponential RNA replication by a polymerase ribozyme. Nature Chemistry. May, 2025. Seven MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, UK add further explanations as to how early RNA nucleotides got themselves untangled, sorted out and on their long journey to Oxford and our vital retrospect.

RNA replication is considered a key process in the origins of life. However, both enzymatic RNA replication cycles are impeded by strand separation issues arising from the stability of RNA duplexes. Here we show that RNA trinucleotide triphosphates can overcome this by binding to RNA strands for replication by a polymerase ribozyme. Partial ribozyme self-replication alongside generation of new RNA sequences occurred, which then drifted towards primordial codons. (Excerpt)

Bunn, Hayley, et al. Laboratory Rotational Spectroscopy Leads to the First Interstellar Detection of Deuterated Methyl Mercaptan. Astrophysical Journal Letters. 980/L13, 2025. This entry by MPI Extraterrestrial Physics, Université Paris-Saclay, University of Saskatchewan and University of Copenhagen astroscientists is an example of mid-decade sophisticated instrumentation and techniques which are able to quantify critical precursors on the evident course to viable rudiments and replicant evolution.

We report an extensive rotational spectroscopic analysis of singly deuterated methyl mercaptan (CH2DSH) using both millimeter and far-infrared synchrotron spectra to achieve a global torsional analysis of the three lowest torsional substates of this species. This is the first interstellar detection of a deuterated sulfur-bearing complex organic molecule and an important step toward understanding the chemical origin of sulfur-based prebiotics.

Kosc, Thomas, et al. Thermodynamic consistency of autocatalytic cycles. PNAS. 122/18, 2025. Laboratoire de Biométrie & Biologie Evolutive, Université Lyon and École Normale Supérieure Lyon, CNRS bioresearchers enter a strong, quantified, endorsement of how profligate these innate, spontaneous, precursor self-making reactions are as living systems complexified itself on the way to an emergent evolution,

Autocatalysis is seen as a potential key player in the origin of life, and more generally in the emergence of Darwinian dynamics. Here we tackle the computational task of detecting minimal autocatalytic cycles in reaction networks. Overall, by better characterizing the conditions of autocatalysis in biochemical reactions, this work brings us closer to appreciating the collective behavior on the path to the emergence of natural selection. (Abstract excerpt)

Life’s Cerebral Cognizance Becomes More Complex, Smarter, Informed, Proactive, Self-Aware

Rogers, Lesley and Giorgio Vallortigara, eds. Lateralized Brain Functions: Methods in Human and Non-Human Species.. Switzerland: Springer,, 2025. The University of New England, Australia and University of Trento, Italy editors are senior definers (search) of this 21st century project to realize and thoroughly quantify the evolutionary occurrence and emergent ramification of complementary hemispheres and their common archetypes. This volume adds the latest methods and evidence such as Lateralization in Invertebrates by Davide Liga and Elisa Frasnelli and Reversals of Bodies, Brains, and Behavior: Quantitative Analysis of Laterality by Douglas Blackiston and Michael Levin.

The chapters in this book cover topics such as measuring lateralization in a range of species by scoring behavior elicited by inputs to one of both brain hemispheres; behavioral studies of motor preferences; neurological methods to reveal lateralization; imaging and new genetic approaches to studying humans and zebrafish.

, . Girard-Buttoz, Cedric, et al. Versatile use of chimpanzee call combinations promotes meaning expansion. Science Advances. 11/19, 2025.. Science Advances. 11/19, 2025. Leibniz Primate Research and MPI Human Cognitive Sciences paleopsychologists including Angela Friederici can now parse these proto-language occurrences of content filled utterances which are then seen to portend our recursive,loquacious linguistics.

Language is a combinatorial communication system able to generate an infinite number of meanings. Nonhuman animals use similar modes to expand content, which suggests an evolutionary precursor to our human capabilities. We tested whether wild chimpanzees used these procedures and found four combinatorial cases whereby bigram meanings were or were not derived from their parts. Such a system in nonhuman animals has never been documented and may be transitional between rudimentary systems and open-ended systems like our own. (Abstract)

Gontier, Nathalie, et al. Introduction to Evolving (Proto)Language/s. Lingua. 305/103740, 2024. In this premier journal, University of Lisbon, Nicolaus Copernicus University, Poland, Dalarne University, Sweden and Rutgers University, USA system linguists describe wider and deeper sources now being found of informative creaturely conveyance, broadly conceived, based on interdisciplinary studies. A typical entry is Emergence and evolution of language in multi-agent systems by Dorota Lipowska and Adam Lipowski.

Long considered uniquely human, today scholars argue for evolutionary continuity between human language and animal communication systems. While it is recognized that language is an evolving communication system, it is not well known from which species language evolved, and what behavioral and cognitive features are precursors. This special issue on Evolving (Proto)Language/s bundles several current protolanguage theories to provide overviews from (paleo)anthropology, genetics, physiology, developmental, evolutionary, ecological, and pragmatic research lines. (Excerpt)

Our Earthuman Ascent: A Major Evolutionary Transition in Twindividuality

Liang, Xinyu, et al. Functional divergence between the two cerebral hemispheres contributes to human fluid intelligence. Communications Biology. May 17, 2025. Cognitive Neuroscience and Learning, Beijing Normal University, Institute for Brain-inspired Intelligence, Fudan University and University of York (Elizabeth Jefferies) neuroscientists describe their latest sophisticated imaging studies which further affirm the significance of our double duty cerebral faculty and archetypical hemispheric complements.

Hemispheric lateralization is considered a driving force behind the generation of human intelligence. In this study, we utilize the functional aligned multidimensional representation space derived from functional gradients to compute between-hemisphere distances within this space. We found that both global divergence between the cerebral hemispheres and regional divergence within the multiple demand network. Together, these findings deepen our understanding of bicamerality as a fundamental organizational principle of the human brain. (Excerpt)

Our results reveal an increasing functional lateralization which transitions from unimodal functions (visual, auditory, sensorimotor) to higher-level cognition (social cognition, decision-making). This aligns with established theories linking the left side to language processes and long-term memory and the right to the facial images and visual attention. (7)

Gontier, Nathalie, et al. Gontier, Nathalie, et al. Combinatoriality and Compositionality in Communication, Skills, Tool Use, and Language. International Journal of Primatology.. 45/473, 2024. University of Lisbon, Heinrich Heine University, Nicolaus Copernicus University, Poland and University Institute of Psychological, Social and Life Sciences, Lisbon scholars continue to reconstruct life’s long experience to better survive and benefit by way of salient gestures, lyric prosody, fluent articulations and natural narrative. We propose our Earthuman version as Her/History which serves to welcome fiterate ourselves. Altogether, one could suppose that a natural ecosmic genesis is trying to express its own voice, vision and self-recognition.

Combinatorial behavior involves joining elements into larger aggregates with meaning. It is contrasted with compositionality, which involves larger constituents whose content is derived from its component parts. Combinatoriality is found in primates and animals, whereas compositionality is considered uniquely human. In regard,, this special Combinatoriality and Compositionality in Apes, Hominins, Humans, and Birds issue unites papers that study these aspects in primate and bird communication systems, tool use, skills, and human language. (Abstract)

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